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Data privacy engineering is a new technological territory that hasn't been well defined in our industry; by joining the team, you will have chance to refine the data privacy framework, use advanced privacy technology, and make a big impact on TikTok and our community.
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As a hands-on expert in Ansys products, you will use advanced-level engineering knowledge to provide technical pre-sales support, perform professional services, and help translate customer requirements into exciting new product features.
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The ideal candidate has significant, hands-on experience managing data specific to an audience segmentation and/or an insights reporting feature set as part of a Marketing Automation, CDP, CRM, or other enterprise-level customer experience product suite.
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Hands-on electrical or mechanical skill and competence in the area of non-expertise (for example, electrical expertise with mechanical competence, or vice-versa). Travel: NoneVaccine Requirement: Not requiredPosition Description: The Engineer position is a contributing member to the site level Data Center Operations team assigned to one or more of our data center properties reporting directly to the Manager of Facility Engineering.
$35 - $37ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with microservices/RESTful API, relational/NoSql databases, data modeling and data ingestion frameworks Hands-on experience with data streaming and messaging frameworks (Kafka, Spark, etc.
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Established high tech thermal processing equipment builder in search of an experienced engineering manager to lead a team of 10 in a hands-on role that requires a strong technical foundation, management skills, and ability to drive innovation.
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Hands-on experience with WCF and WPF. Hands-on experience in. Physics, Computer Science, Electrical Engineering, Mechatronics, Other technical backgrounds. Pay scales are determined by role, level, location and alignment with market data.
$182,250 - $303,750 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies. Minimum of 5 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG.
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Hands-on experience in rapid prototyping of hardware, including utilizing dev kits, 3D printing, and embedded software. Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
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Participate as a key stakeholder, product owner, and collaborator in the execution of Engineering projects related to your product area. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law.
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A Solutions Architect is the first line of technical expertise between NVIDIA and our customers so you will engage directly with developers, researchers, and data scientists with some of NVIDIA’s most strategic technology customers as well as work directly with business and engineering teams on product strategy.
$144,000 - $224,250 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands-on development, integration, operation and troubleshooting of instrumentation, signal conditioning, data acquisition systems, computer networking and computer operating systems (Windows & QNX) Including Classified data system requirements, setup, and maintenance.
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Experience in designing integrations using SOAP, REST, FTP, DB Adapters and PL/SQL. -Hands-on experience with Azure Kubernetes Service (AKS) or similar container orchestration platforms.
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Grid Dynamics is a leading provider of technology consulting, agile co-creation, scalable engineering and data science services for Fortune 500 corporations undergoing digital transformation.
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